{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b60f2657",
   "metadata": {},
   "source": [
    "# Real-world data\n",
    "\n",
    "\n",
    "The section reports the performances that are obtained on real-world data using neural network architectures. The dataset is the same as in [Chapter 3, Section 5](Baseline_FDS_RealWorldData). Results are reported following the prequential grid search methodology used in the previous sections with simulated data. \n",
    "\n",
    "We first report the performances for the feed-forward neural network, the convolutional neural network, the long short term memory, and the LSTM with attention. We also considered variations in the hyperparameters:\n",
    "* `Feed-forward Neural Network`: 2 layers, 500 neurons, a dropout level of 0 or 0.2, Adam with a learning rate of 0.001 or 0.0001, 5, 10 or 20 epochs, and a batch size of 64, 128, or 256. \n",
    "* `Convolutional Neural Network`: 2 convolutional layers with 200 filters of size 2, 1 hidden layer with 500 neurons, a dropout level of 0 or 0.2, Adam with a learning rate of 0.001 or 0.0001, 5, 10 or 20 epochs, and a batch size of 64, 128 or 256.\n",
    "* `Long Short Term Memory`: 1 recurrent layer with 200 neurons for the hidden state, 1 hidden layer with 500 neurons, a dropout level of 0 or 0.2, Adam with a learning rate of 0.001 or 0.0001, 5, 10 or 20 epochs, and a batch size of 64, 128 or 256.\n",
    "* `Long Short Term Memory with Attention`: 1 recurrent layer with 200 neurons for the hidden state, 1 hidden layer with 500 neurons, a dropout level of 0 or 0.2, Adam with a learning rate of 0.001 or 0.0001, 5, 10 or 20 epochs, and a batch size of 64, 128 or 256.\n",
    "\n",
    "\n",
    "We finally report global results and compare them to the other supervised baselines (decision tree, logistic regression, random forest, and XGBoost)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "76953549",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialization: Load shared functions\n",
    "\n",
    "# Load shared functions\n",
    "!curl -O https://raw.githubusercontent.com/Fraud-Detection-Handbook/fraud-detection-handbook/main/Chapter_References/shared_functions.py\n",
    "%run shared_functions.py\n",
    "#%run ../Chapter_References/shared_functions.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9fd41c3",
   "metadata": {},
   "source": [
    "## Feed-forward neural network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2fe0c370",
   "metadata": {},
   "outputs": [],
   "source": [
    "filehandler = open('performances_model_selection_nn_real_data.pkl', 'rb') \n",
    "(performances_df_dictionary, execution_times) = pickle.load(filehandler)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dd96a7a",
   "metadata": {},
   "source": [
    "The results for the feed-forward network are reported below. Let us first have a look at global trends with the performance summary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a4822ca7",
   "metadata": {},
   "outputs": [],
   "source": [
    "performances_df_nn = performances_df_dictionary['Neural Network']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2c21da25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AUC ROC</th>\n",
       "      <th>Average precision</th>\n",
       "      <th>Card Precision@100</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Best estimated parameters</th>\n",
       "      <td>0.0001/128/20/0.2/2</td>\n",
       "      <td>0.0001/128/20/0.2/2</td>\n",
       "      <td>0.0001/256/10/0/2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Validation performance</th>\n",
       "      <td>0.874+/-0.02</td>\n",
       "      <td>0.079+/-0.03</td>\n",
       "      <td>0.218+/-0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Test performance</th>\n",
       "      <td>0.894+/-0.01</td>\n",
       "      <td>0.084+/-0.02</td>\n",
       "      <td>0.236+/-0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal parameter(s)</th>\n",
       "      <td>0.001/256/20/0.2/2</td>\n",
       "      <td>0.0001/64/20/0.2/2</td>\n",
       "      <td>0.0001/256/10/0/2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal test performance</th>\n",
       "      <td>0.898+/-0.01</td>\n",
       "      <td>0.085+/-0.01</td>\n",
       "      <td>0.236+/-0.04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       AUC ROC    Average precision  \\\n",
       "Best estimated parameters  0.0001/128/20/0.2/2  0.0001/128/20/0.2/2   \n",
       "Validation performance            0.874+/-0.02         0.079+/-0.03   \n",
       "Test performance                  0.894+/-0.01         0.084+/-0.02   \n",
       "Optimal parameter(s)        0.001/256/20/0.2/2   0.0001/64/20/0.2/2   \n",
       "Optimal test performance          0.898+/-0.01         0.085+/-0.01   \n",
       "\n",
       "                          Card Precision@100  \n",
       "Best estimated parameters  0.0001/256/10/0/2  \n",
       "Validation performance          0.218+/-0.04  \n",
       "Test performance                0.236+/-0.04  \n",
       "Optimal parameter(s)       0.0001/256/10/0/2  \n",
       "Optimal test performance        0.236+/-0.04  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_performances_nn=get_summary_performances(performances_df_nn, parameter_column_name=\"Parameters summary\")\n",
    "summary_performances_nn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "597d785b",
   "metadata": {},
   "source": [
    "As well as for the synthetic data, the optimal set of hyperparameters strongly depends on the metric. The smallest learning rate `0.0001`, and the largest number of epochs `20` are slightly favored. Let us consider these values and visualize the impact of the batch size and dropout level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "83c010fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters_dict=dict(performances_df_nn['Parameters'])\n",
    "performances_df_nn['Parameters summary']=[\n",
    "                                   str(parameters_dict[i]['clf__batch_size'])    \n",
    "                                   for i in range(len(parameters_dict))]\n",
    "performances_df_nn_subset = performances_df_nn[performances_df_nn['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__module__hidden_size']==500 and x['clf__module__num_layers']==2 and x['clf__module__p']==0.2 and x['clf__max_epochs']==20).values]\n",
    "summary_performances_nn_subset=get_summary_performances(performances_df_nn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_nn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_nn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_nn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"batch size\",\n",
    "                       summary_performances=summary_performances_nn_subset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6bbf4064",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters_dict=dict(performances_df_nn['Parameters'])\n",
    "performances_df_nn['Parameters summary']=[\n",
    "                                   str(parameters_dict[i]['clf__module__p'])    \n",
    "                                   for i in range(len(parameters_dict))]\n",
    "performances_df_nn_subset = performances_df_nn[performances_df_nn['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__module__hidden_size']==500 and x['clf__module__num_layers']==2 and x['clf__max_epochs']==20 and x['clf__batch_size']==128).values]\n",
    "summary_performances_nn_subset=get_summary_performances(performances_df_nn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_nn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_nn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_nn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"Dropout\",\n",
    "                       summary_performances=summary_performances_nn_subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e936a997",
   "metadata": {},
   "source": [
    "Similar to results on synthetic data, these hyperparameters related to optimization all have sweet spots that depend on each other. This confirms the importance of tuning for this kind of model.\n",
    "\n",
    "Overall, our simple feed-forward neural network reaches a competitive performance. It is comparable to the Random Forest baseline on the real-world data (global comparison at the end), which is very promising for applications to incremental fraud detection systems."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63ac4300",
   "metadata": {},
   "source": [
    "## Sequential models\n",
    "\n",
    "Let us now analyze the performance of sequential models on real-world data with respect to some of their optimization parameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b5dd2a61",
   "metadata": {},
   "outputs": [],
   "source": [
    "filehandler = open('performances_model_selection_seq_model_real_data.pkl', 'rb') \n",
    "(performances_df_dictionary_seq_model, execution_times) = pickle.load(filehandler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "126d2ea3",
   "metadata": {},
   "outputs": [],
   "source": [
    "performances_df_cnn=performances_df_dictionary_seq_model['CNN']\n",
    "summary_performances_cnn=get_summary_performances(performances_df_cnn, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_lstm=performances_df_dictionary_seq_model['LSTM']\n",
    "summary_performances_lstm=get_summary_performances(performances_df_lstm, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_lstm_attn=performances_df_dictionary_seq_model['LSTM_Attention']\n",
    "summary_performances_lstm_attn=get_summary_performances(performances_df_lstm_attn, parameter_column_name=\"Parameters summary\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac600aaa",
   "metadata": {},
   "source": [
    "### Convolutional Neural Network\n",
    "\n",
    "We start with the 1D convolutional neural network. The performance summary and the impact of batch size, number of epochs, and dropout are analyzed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b6434723",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AUC ROC</th>\n",
       "      <th>Average precision</th>\n",
       "      <th>Card Precision@100</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Best estimated parameters</th>\n",
       "      <td>5/2/256/200/0</td>\n",
       "      <td>10/2/256/200/0</td>\n",
       "      <td>10/2/128/200/0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Validation performance</th>\n",
       "      <td>0.864+/-0.02</td>\n",
       "      <td>0.098+/-0.03</td>\n",
       "      <td>0.227+/-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Test performance</th>\n",
       "      <td>0.882+/-0.01</td>\n",
       "      <td>0.093+/-0.02</td>\n",
       "      <td>0.221+/-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal parameter(s)</th>\n",
       "      <td>5/2/128/200/0</td>\n",
       "      <td>5/2/256/200/0</td>\n",
       "      <td>5/2/64/200/0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal test performance</th>\n",
       "      <td>0.884+/-0.01</td>\n",
       "      <td>0.103+/-0.02</td>\n",
       "      <td>0.245+/-0.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 AUC ROC Average precision Card Precision@100\n",
       "Best estimated parameters  5/2/256/200/0    10/2/256/200/0     10/2/128/200/0\n",
       "Validation performance      0.864+/-0.02      0.098+/-0.03       0.227+/-0.03\n",
       "Test performance            0.882+/-0.01      0.093+/-0.02       0.221+/-0.03\n",
       "Optimal parameter(s)       5/2/128/200/0     5/2/256/200/0     5/2/64/200/0.2\n",
       "Optimal test performance    0.884+/-0.01      0.103+/-0.02       0.245+/-0.02"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_performances_cnn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9d074605",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters_dict=dict(performances_df_cnn['Parameters'])\n",
    "performances_df_cnn['Parameters summary']=[str(parameters_dict[i]['clf__max_epochs'])+\n",
    "                                   '/'+\n",
    "                                   str(parameters_dict[i]['clf__batch_size'])+\n",
    "                                   '/'+    \n",
    "                                   str(parameters_dict[i]['clf__module__p'])\n",
    "                                   for i in range(len(parameters_dict))]\n",
    "\n",
    "performances_df_cnn_subset = performances_df_cnn[performances_df_cnn['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__module__num_filters']==200 and x['clf__max_epochs']==10 and x['clf__module__num_conv']==2 and x['clf__module__p']==0.2).values]\n",
    "summary_performances_cnn_subset=get_summary_performances(performances_df_cnn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_cnn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_cnn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_cnn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"batch size\",\n",
    "                       summary_performances=summary_performances_cnn_subset)\n",
    "\n",
    "performances_df_cnn_subset = performances_df_cnn[performances_df_cnn['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__module__num_filters']==200 and x['clf__batch_size']==128 and x['clf__module__num_conv']==2 and x['clf__module__p']==0.2).values]\n",
    "summary_performances_cnn_subset=get_summary_performances(performances_df_cnn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_cnn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_cnn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_cnn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"epochs\",\n",
    "                       summary_performances=summary_performances_cnn_subset)\n",
    "\n",
    "performances_df_cnn_subset = performances_df_cnn[performances_df_cnn['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__module__num_filters']==200 and x['clf__batch_size']==128 and x['clf__module__num_conv']==2 and x['clf__max_epochs']==20).values]\n",
    "summary_performances_cnn_subset=get_summary_performances(performances_df_cnn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_cnn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_cnn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_cnn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"dropout\",\n",
    "                       summary_performances=summary_performances_cnn_subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "905f8bb1",
   "metadata": {},
   "source": [
    "Similar to the regular neural network, the performance highly depends on the optimization parameters. A little level of dropout appears to be beneficial, in particular on the test dataset, where the distribution is further from the training distribution.\n",
    "\n",
    "\n",
    "Overall, except for the AUC ROC, the 1D convolutional neural network is able to outperform the feed-forward neural network and obtain a very competitive Average precision."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8685f3cf",
   "metadata": {},
   "source": [
    "### Long Short Term Memory\n",
    "\n",
    "Let us carry on with the LSTM. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5242f362",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AUC ROC</th>\n",
       "      <th>Average precision</th>\n",
       "      <th>Card Precision@100</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Best estimated parameters</th>\n",
       "      <td>5/128/200/0.2</td>\n",
       "      <td>5/256/200/0.2</td>\n",
       "      <td>5/64/200/0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Validation performance</th>\n",
       "      <td>0.873+/-0.02</td>\n",
       "      <td>0.109+/-0.04</td>\n",
       "      <td>0.238+/-0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Test performance</th>\n",
       "      <td>0.892+/-0.0</td>\n",
       "      <td>0.104+/-0.03</td>\n",
       "      <td>0.22+/-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal parameter(s)</th>\n",
       "      <td>5/256/200/0.2</td>\n",
       "      <td>5/128/200/0</td>\n",
       "      <td>5/256/200/0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal test performance</th>\n",
       "      <td>0.893+/-0.01</td>\n",
       "      <td>0.11+/-0.02</td>\n",
       "      <td>0.24+/-0.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 AUC ROC Average precision Card Precision@100\n",
       "Best estimated parameters  5/128/200/0.2     5/256/200/0.2         5/64/200/0\n",
       "Validation performance      0.873+/-0.02      0.109+/-0.04       0.238+/-0.02\n",
       "Test performance             0.892+/-0.0      0.104+/-0.03        0.22+/-0.03\n",
       "Optimal parameter(s)       5/256/200/0.2       5/128/200/0        5/256/200/0\n",
       "Optimal test performance    0.893+/-0.01       0.11+/-0.02        0.24+/-0.03"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_performances_lstm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed206e3f",
   "metadata": {},
   "source": [
    "The long short term memory globally outperforms the convolutional neural network on the test datasets and obtains the best average precision overall."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4db93aa2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters_dict=dict(performances_df_lstm['Parameters'])\n",
    "performances_df_lstm['Parameters summary']=[str(parameters_dict[i]['clf__max_epochs'])\n",
    "                                            for i in range(len(parameters_dict))]\n",
    "\n",
    "performances_df_lstm_subset = performances_df_lstm[performances_df_lstm['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__batch_size']==256 and x['clf__module__hidden_size_lstm']==200 and x['clf__module__p']==0.2).values]\n",
    "summary_performances_lstm_subset=get_summary_performances(performances_df_lstm_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_lstm_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_lstm_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_lstm_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"epochs\",\n",
    "                       summary_performances=summary_performances_lstm_subset)\n",
    "\n",
    "performances_df_lstm_subset = performances_df_lstm[performances_df_lstm['Parameters'].apply(lambda x:x['clf__lr']== 0.001 and x['clf__batch_size']==64 and x['clf__module__hidden_size_lstm']==200 and x['clf__module__p']==0.2).values]\n",
    "summary_performances_lstm_subset=get_summary_performances(performances_df_lstm_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_lstm_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_lstm_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_lstm_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"epochs\",\n",
    "                       summary_performances=summary_performances_lstm_subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6fba3ee",
   "metadata": {},
   "source": [
    "The charts above show the evolution of the three metrics with the number of epochs, for the two extreme sets of \"convergence\"-related hyperparameters. On the top charts, the learning rate is `0.0001`, and the batch size is `256`. On the bottom charts, the learning rate is `0.001`, and the batch size is `64`. The best performance is obtained for the lowest learning rate, the largest batch size, and the lowest number of epochs which suggests that reducing the convergence speed or the number of epochs could potentially push the performance further. In spite of this, the optimal performance on the test sets is already very competitive with the baseline (see the results at the end of this section)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0038e723",
   "metadata": {},
   "source": [
    "### LSTM with Attention\n",
    "\n",
    "For the LSTM with Attention, we finally perform the exact same analysis as for the regular LSTM. The results, shown below, are slightly better and could also be improved by performing fewer optimization steps or by slowing down the convergence. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f6a289a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AUC ROC</th>\n",
       "      <th>Average precision</th>\n",
       "      <th>Card Precision@100</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Best estimated parameters</th>\n",
       "      <td>5/128/200/0.2</td>\n",
       "      <td>5/128/200/0.2</td>\n",
       "      <td>10/128/200/0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Validation performance</th>\n",
       "      <td>0.89+/-0.01</td>\n",
       "      <td>0.105+/-0.03</td>\n",
       "      <td>0.243+/-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Test performance</th>\n",
       "      <td>0.898+/-0.01</td>\n",
       "      <td>0.105+/-0.02</td>\n",
       "      <td>0.232+/-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal parameter(s)</th>\n",
       "      <td>5/256/200/0</td>\n",
       "      <td>5/256/200/0.2</td>\n",
       "      <td>5/128/200/0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimal test performance</th>\n",
       "      <td>0.899+/-0.01</td>\n",
       "      <td>0.113+/-0.03</td>\n",
       "      <td>0.247+/-0.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 AUC ROC Average precision Card Precision@100\n",
       "Best estimated parameters  5/128/200/0.2     5/128/200/0.2       10/128/200/0\n",
       "Validation performance       0.89+/-0.01      0.105+/-0.03       0.243+/-0.03\n",
       "Test performance            0.898+/-0.01      0.105+/-0.02       0.232+/-0.03\n",
       "Optimal parameter(s)         5/256/200/0     5/256/200/0.2        5/128/200/0\n",
       "Optimal test performance    0.899+/-0.01      0.113+/-0.03       0.247+/-0.02"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_performances_lstm_attn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e3727a81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters_dict=dict(performances_df_lstm_attn['Parameters'])\n",
    "performances_df_lstm_attn['Parameters summary']=[str(parameters_dict[i]['clf__max_epochs'])+\n",
    "                                   '/'+\n",
    "                                   str(parameters_dict[i]['clf__module__hidden_size_lstm'])\n",
    "                                   for i in range(len(parameters_dict))]\n",
    "\n",
    "performances_df_lstm_attn_subset = performances_df_lstm_attn[performances_df_lstm_attn['Parameters'].apply(lambda x:x['clf__lr']== 0.0001 and x['clf__batch_size']==256 and x['clf__module__hidden_size_lstm']==200 and x['clf__module__p']==0.2).values]\n",
    "summary_performances_lstm_attn_subset=get_summary_performances(performances_df_lstm_attn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_lstm_attn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_lstm_attn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_lstm_attn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"hidden states size\",\n",
    "                       summary_performances=summary_performances_lstm_attn_subset)\n",
    "\n",
    "performances_df_lstm_attn_subset = performances_df_lstm_attn[performances_df_lstm_attn['Parameters'].apply(lambda x:x['clf__lr']== 0.001 and x['clf__batch_size']==64 and x['clf__module__hidden_size_lstm']==200 and x['clf__module__p']==0.2).values]\n",
    "summary_performances_lstm_attn_subset=get_summary_performances(performances_df_lstm_attn_subset, parameter_column_name=\"Parameters summary\")\n",
    "indexes_summary = summary_performances_lstm_attn_subset.index.values\n",
    "indexes_summary[0] = 'Best estimated parameters'\n",
    "summary_performances_lstm_attn_subset.rename(index = dict(zip(np.arange(len(indexes_summary)),indexes_summary)))\n",
    "get_performances_plots(performances_df_lstm_attn_subset, \n",
    "                       performance_metrics_list=['AUC ROC', 'Average precision', 'Card Precision@100'], \n",
    "                       expe_type_list=['Test','Validation'], expe_type_color_list=['#008000','#FF0000'],\n",
    "                       parameter_name=\"epochs\",\n",
    "                       summary_performances=summary_performances_lstm_attn_subset)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75151247",
   "metadata": {},
   "source": [
    "## Global comparison\n",
    "\n",
    "To contrast the results obtained on the simulated dataset in previous sections, let us also make here a complete comparison of the approaches (baselines and deep learning models) on the real-world data. In particular, let us complement the results above with the ones obtained with baseline models (the Linear Regression, the Decision Tree, the Random Forest, and XGBoost) and display everything on a global table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "52e5e736",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load performance results for decision tree, logistic regression, random forest and XGBoost\n",
    "filehandler = open('../Chapter_5_ModelValidationAndSelection/images/performances_model_selection_real_world_data.pkl', 'rb') \n",
    "(performances_df_dictionary, execution_times) = pickle.load(filehandler)\n",
    "\n",
    "# Load performance results for feed-forward neural network\n",
    "filehandler = open('performances_model_selection_nn_real_data.pkl', 'rb') \n",
    "(performances_df_dictionary_nn, execution_times_nn) = pickle.load(filehandler)\n",
    "\n",
    "# Load performance results for CNN, LSTM and LSTM with Attention\n",
    "filehandler = open('performances_model_selection_seq_model_real_data.pkl', 'rb') \n",
    "(performances_df_dictionary_seq_model, execution_times_seq_model) = pickle.load(filehandler)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fb61f5e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "performances_df_dt=performances_df_dictionary['Decision Tree']\n",
    "summary_performances_dt=get_summary_performances(performances_df_dt, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_lr=performances_df_dictionary['Logistic Regression']\n",
    "summary_performances_lr=get_summary_performances(performances_df_lr, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_rf=performances_df_dictionary['Random Forest']\n",
    "summary_performances_rf=get_summary_performances(performances_df_rf, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_xgboost=performances_df_dictionary['XGBoost']\n",
    "summary_performances_xgboost=get_summary_performances(performances_df_xgboost, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_nn=performances_df_dictionary_nn['Neural Network']\n",
    "summary_performances_nn=get_summary_performances(performances_df_nn, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_cnn=performances_df_dictionary_seq_model['CNN']\n",
    "summary_performances_cnn=get_summary_performances(performances_df_cnn, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_lstm=performances_df_dictionary_seq_model['LSTM']\n",
    "summary_performances_lstm=get_summary_performances(performances_df_lstm, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "performances_df_lstm_attention=performances_df_dictionary_seq_model['LSTM_Attention']\n",
    "summary_performances_lstm_attention=get_summary_performances(performances_df_lstm_attention, parameter_column_name=\"Parameters summary\")\n",
    "\n",
    "summary_test_performances = pd.concat([summary_performances_dt.iloc[2,:],\n",
    "                                       summary_performances_lr.iloc[2,:],\n",
    "                                       summary_performances_rf.iloc[2,:],\n",
    "                                       summary_performances_xgboost.iloc[2,:],\n",
    "                                       summary_performances_nn.iloc[2,:],\n",
    "                                       summary_performances_cnn.iloc[2,:],\n",
    "                                       summary_performances_lstm.iloc[2,:],\n",
    "                                       summary_performances_lstm_attention.iloc[2,:],\n",
    "                                      ],axis=1)\n",
    "summary_test_performances.columns=['Decision Tree', 'Logistic Regression', 'Random Forest', 'XGBoost', \n",
    "                                   'Neural Network', 'CNN', 'LSTM', 'LSTM with Attention']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c70e3b0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Decision Tree</th>\n",
       "      <th>Logistic Regression</th>\n",
       "      <th>Random Forest</th>\n",
       "      <th>XGBoost</th>\n",
       "      <th>Neural Network</th>\n",
       "      <th>CNN</th>\n",
       "      <th>LSTM</th>\n",
       "      <th>LSTM with Attention</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUC ROC</th>\n",
       "      <td>0.869+/-0.03</td>\n",
       "      <td>0.816+/-0.02</td>\n",
       "      <td>0.912+/-0.02</td>\n",
       "      <td>0.928+/-0.01</td>\n",
       "      <td>0.894+/-0.01</td>\n",
       "      <td>0.882+/-0.01</td>\n",
       "      <td>0.892+/-0.0</td>\n",
       "      <td>0.898+/-0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Average precision</th>\n",
       "      <td>0.068+/-0.01</td>\n",
       "      <td>0.054+/-0.01</td>\n",
       "      <td>0.08+/-0.03</td>\n",
       "      <td>0.095+/-0.03</td>\n",
       "      <td>0.084+/-0.02</td>\n",
       "      <td>0.093+/-0.02</td>\n",
       "      <td>0.104+/-0.03</td>\n",
       "      <td>0.105+/-0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Card Precision@100</th>\n",
       "      <td>0.232+/-0.04</td>\n",
       "      <td>0.211+/-0.03</td>\n",
       "      <td>0.227+/-0.05</td>\n",
       "      <td>0.235+/-0.07</td>\n",
       "      <td>0.236+/-0.04</td>\n",
       "      <td>0.221+/-0.03</td>\n",
       "      <td>0.22+/-0.03</td>\n",
       "      <td>0.232+/-0.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Decision Tree Logistic Regression Random Forest  \\\n",
       "AUC ROC             0.869+/-0.03        0.816+/-0.02  0.912+/-0.02   \n",
       "Average precision   0.068+/-0.01        0.054+/-0.01   0.08+/-0.03   \n",
       "Card Precision@100  0.232+/-0.04        0.211+/-0.03  0.227+/-0.05   \n",
       "\n",
       "                         XGBoost Neural Network           CNN          LSTM  \\\n",
       "AUC ROC             0.928+/-0.01   0.894+/-0.01  0.882+/-0.01   0.892+/-0.0   \n",
       "Average precision   0.095+/-0.03   0.084+/-0.02  0.093+/-0.02  0.104+/-0.03   \n",
       "Card Precision@100  0.235+/-0.07   0.236+/-0.04  0.221+/-0.03   0.22+/-0.03   \n",
       "\n",
       "                   LSTM with Attention  \n",
       "AUC ROC                   0.898+/-0.01  \n",
       "Average precision         0.105+/-0.02  \n",
       "Card Precision@100        0.232+/-0.03  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_test_performances"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b4d6336",
   "metadata": {},
   "source": [
    "The conclusions here are different from the results obtained with the simulated data. It appears that all neural network-based models have better performance than the Logistic Regression and the Decision Tree for the three metrics.\n",
    "\n",
    "In comparison with XGBoost and Random Forest, the sequential models are better w.r.t Average Precision, similar w.r.t Card Precision@100, and worse w.r.t AUC-ROC.  \n",
    "\n",
    "The sequential models are better than the regular feed-forward network, suggesting that the information brought by the history of transactions is relevant for fraud detection. The LSTM performs better than the CNN for the set of chosen hyperparameters, and the Attention brings a little value.\n",
    "\n",
    "The competitivity of the deep learning architectures comes at the great cost of hyperoptimization and tuning but is definitely valuable for all the reasons mentioned in the introduction (e.g. incremental)."
   ]
  }
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